Tania Rivera-Hernández
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 5%
- Molecular Biology
- Epidemiology
- Immunology
- Co-authors
- Mark J. WalkerStephan BrouwerTimothy C. BarnettMark R. DaviesMichael R. BatzloffDavid M. P. De OliveiraNichaela Harbison-PriceMagnus G. Jespersen
- Topics
- Streptococcal Infections and Treatments (20 papers)Antimicrobial Resistance in Staphylococcus (10 papers)Neonatal and Maternal Infections (10 papers)
- Partner nations
- AustraliaMexicoUnited States
In The Last Decade
Tania Rivera-Hernández
29 papers receiving 901 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Public Health, Environmental and Occupational Health 505
- Infectious Diseases 452
- Molecular Biology 211
- Epidemiology 179
- Immunology 120
Countries citing papers authored by Tania Rivera-Hernández
This map shows the geographic impact of Tania Rivera-Hernández's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tania Rivera-Hernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Rivera-Hernández more than expected).
Fields of papers citing papers by Tania Rivera-Hernández
This network shows the impact of papers produced by Tania Rivera-Hernández. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tania Rivera-Hernández. The network helps show where Tania Rivera-Hernández may publish in the future.
Co-authorship network of co-authors of Tania Rivera-Hernández
This figure shows the co-authorship network connecting the top 25 collaborators of Tania Rivera-Hernández. A scholar is included among the top collaborators of Tania Rivera-Hernández based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tania Rivera-Hernández. Tania Rivera-Hernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Pathogenesis, epidemiology and control of Group A Streptococcus infectionbreakdown → | 146 |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 7 | |
| 8 | 44 | |
| 9 | 7 | |
| 10 | 22 | |
| 11 | 11 | |
| 12 | 25 | |
| 13 | 58 | |
| 14 | 19 | |
| 15 | 12 | |
| 16 | 24 | |
| 17 | 19 | |
| 18 | The contribution of non-human primate models to the development of human vaccines. | 35 |
| 19 | 33 | |
| 20 | 77 |
About Tania Rivera-Hernández
Tania Rivera-Hernández is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Microbiology, having authored 31 papers that have together received 914 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (20 papers), Antimicrobial Resistance in Staphylococcus (10 papers) and Neonatal and Maternal Infections (10 papers). The work is most often cited by research in Infectious Diseases (452 citations), Public Health, Environmental and Occupational Health (505 citations) and Microbiology (62 citations). Tania Rivera-Hernández has collaborated with scholars based in Australia, Mexico and United States. Frequent co-authors include Mark J. Walker, Stephan Brouwer, Timothy C. Barnett, Mark R. Davies, Michael R. Batzloff, David M. P. De Oliveira, Nichaela Harbison-Price, Magnus G. Jespersen, Michael F. Good and Victor Nizet. Their work appears in journals such as Nature Communications, Nature Reviews Microbiology and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.